INFORMATION-THEORETIC METHOD FOR HYPOTHESIS TESTING WITH NONSYMMETRIC DISTRIBUTIONS

V. G. Polosin; P. P. Pershenkov

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INFORMATION-THEORETIC METHOD FOR HYPOTHESIS TESTING WITH NONSYMMETRIC DISTRIBUTIONS

机译：非对称分布假设检验的信息理论方法

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摘要

We investigate a method for hypothesis testing with nonsymmetric distributions, based on their transformation to known symmetric distributions and analysis of the collection of information contained in the results of experiment.

机译：我们研究了一种使用非对称分布进行假设检验的方法，该方法基于将其转换为已知的对称分布并分析实验结果中包含的信息收集的情况。

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来源
《Measurement techniques》 |2014年第12期|1318-1322|共5页
作者
V. G. Polosin; P. P. Pershenkov;
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作者单位

Penza State University, Penza, Russia;

Penza State University, Penza, Russia;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类
关键词
statistical modeling; hypothesis realization; nonsymmetric distributions; decision acceptance region;

机译：统计建模;假设实现;非对称分布决策接受区;

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INFORMATION-THEORETIC METHOD FOR HYPOTHESIS TESTING WITH NONSYMMETRIC DISTRIBUTIONS

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